init0

app.py

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+import gradio as gr
+import os
+import google.generativeai as palm
+
+palm.configure(api_key=os.environ.get('API_KEY'))
+
+BOOK_SUMMARY = """Summarize the book {place_holder} in a clear and concise way.
+
+The summary should be no more than 1,000 words.
+The summary should be written in a formal style.
+The summary should include the following information:
+The main plot points of the book.
+The characters in the book and their roles.
+The themes of the book.
+The author's message.
+Examples of desired output format:
+
+"The book {place_holder} is about a young woman who goes on a journey to find herself. Along the way, she meets a variety of characters who help her to learn and grow. The book explores the themes of self-discovery, friendship, and love."
+
+"{place_holder} is a classic novel that tells the story of a family's struggle to survive during the Great Depression. The book is full of memorable characters and powerful imagery. It is a must-read for anyone interested in American history."
+
+Leading words and phrases:
+
+The book {place_holder} is about...
+The main plot points of the book are...
+The characters in the book include...
+The themes of the book are...
+The author's message is...
+
+Avoid vague or imprecise language:
+
+Do not use words like "good" or "bad" to describe the book. Instead, be specific about what you liked or disliked about the book.
+Do not use phrases like "it was a great book" or "it was a terrible book." Instead, explain why you thought the book was great or terrible.
+Provide guidance on what should be done instead:
+
+Instead of saying "do not include spoilers," say "please summarize the book without giving away any spoilers."
+Instead of saying "do not use your own opinions," say "please provide a neutral summary of the book.
+""" ""
+
+def get_book_summary(bookname):
+  response = palm.chat(messages=[BOOK_SUMMARY.format(place_holder=bookname)])
+  return response.last
+
+interface = gr.Interface(fn=get_book_summary, inputs="text", outputs="text")
+
+interface.launch()